Analisis Perbandingan Kualitas Kompresi Citra Digital pada Media Sosial

Abstract

The development of information technology has a broad impact on the way human communication starts from the conventional way to the digital one, communication through messaging services has also evolved from SMS (Short Messaging Service) to the internet such as social media Facebook, Twitter, and WhatsApp. Images that have been scattered on social media have been compressed beforehand so that they can reduce the need for large memory. The compression not only affects the file size but also affects the quality of the image. Measurement of image quality subjectively (human senses) can be done to assess image quality, but it is very difficult to do because the condition of the assessment must depend on human vision, therefore objective assessment is very necessary because it produces standard, fast, and easy measurements. This study was conducted to find the best compression among the three social media, using the assessment of the compression ratio and Peak Signal Noise Ratio (PSNR). The calculation of the compression ratio obtained shows that the compression ratio on WhatsApp has the highest average of 93.93% while the lowest average compression ratio is on Twitter, which is 62.96%. Another objective assessment uses PSNR calculations which can be concluded that the compression on Twitter has the highest PSNR value with an average of 30 dB, while the lowest PSNR value is on WhatsApp, which is 19 dB.